yolo3 Object Detection Dataset and Pre-Trained Model by iit

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Explore Dataset

Here are a few use cases for this project:

Education Tools: The model can be utilized for creating interactive learning tools for kids. It can recognize different shapes and offer immediate feedback, thus enhancing their learning experience in geometry and spatial relations.
Manufacturing Quality Control: The model can be implemented to automate the quality inspection process in manufacturing units that produce or work with different shapes. It can pinpoint defects or irregularities, ensuring all products maintain a high quality standard.
CCTV and Surveillance Systems: The YOLO3 model can be used to enhance security systems by identifying specific shape-related events or anomalies. For example, it can identify prohibited items based on their shape at airport security or detect abnormal activities in a monitored area.
Traffic Management: The model can be employed to interpret traffic signs and symbols for autonomous driving systems, improving the system's ability to understand and react appropriately to various traffic signs.
Robotics and Automation: Autonomous robots can use this model to recognize, categorize, and interact with different objects based on their shapes, facilitating tasks in warehouses, factories, or even domestic environments.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            yolo3-qcewq_dataset,
                            title = { yolo3 Dataset },
                            type = { Open Source Dataset },
                            author = { iit },
                            howpublished = { \url{ https://universe.roboflow.com/iit-ksyyj/yolo3-qcewq } },
                            url = { https://universe.roboflow.com/iit-ksyyj/yolo3-qcewq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-26 },
                            }